CN111062987A

CN111062987A - Virtual matrix type three-dimensional measurement and information acquisition device based on multiple acquisition regions

Info

Publication number: CN111062987A
Application number: CN201911310010.4A
Authority: CN
Inventors: 左忠斌; 左达宇
Original assignee: Tianmu Aishi Beijing Technology Co Ltd
Current assignee: Tianmu Aishi Beijing Technology Co Ltd
Priority date: 2018-09-05
Filing date: 2018-09-05
Publication date: 2020-04-24
Also published as: CN109146961A; CN109146961B

Abstract

The invention provides a virtual matrix type three-dimensional measurement and information acquisition device based on multiple acquisition regions, which comprises: the image acquisition device is used for providing an acquisition area and acquiring a corresponding image; the acquisition area moving device is used for driving the acquisition area of the image acquisition device to move to different positions to form other acquisition areas, so that a virtual image acquisition matrix formed by a plurality of acquisition areas is formed in a certain time in space, and the image acquisition device obtains images of the target object from the plurality of acquisition areas in different directions; the image processing device is used for processing the image obtained by the virtual image acquisition matrix to obtain the 3D information of the target object; and a measuring device for measuring the geometric dimension of the target object according to the 3D information of the target object. The technical problem that the multi-camera matrix is low in acquisition resolution due to the camera volume is noticed and proposed for the first time, and the acquisition resolution is improved in a mode of forming a virtual camera matrix within a certain time, and the resolution can reach a pixel level.

Description

Virtual matrix type three-dimensional measurement and information acquisition device based on multiple acquisition regions

Technical Field

The invention relates to the technical field of 3D measurement of objects, in particular to the technical field of 3D acquisition of a target object and measurement of geometric dimensions such as length by using pictures.

Background

At present, a 3D acquisition/measurement device mainly acquires a plurality of pictures of an object through a plurality of cameras after the object is determined for a certain specific object, so as to synthesize a 3D image of the object, and measures the length, the contour and the like of the object by using 3D point cloud data.

However, the use of multiple cameras results in a bulky overall device. And because the sizes of the lens and the body of the current camera are fixed, a limit value (determined by the geometric dimension of the camera) exists on the distance between the adjacent cameras. In this case, the intervals of the acquisition by the plurality of cameras are large, so that the resultant 3D point cloud or image synthesis effect is poor, and the measurement accuracy is affected. Currently, multiple cameras must be located away from the target to solve this problem. However, if the target is small, the ratio of the target in the image is small, so that the resolution of the target in the image is low, which also affects 3D synthesis and measurement. Therefore, in the above case, a long-focus lens is also used to take a picture, so that the camera capture area is spaced more densely. However, this increases the requirements and cost for the lens, and the requirements for the camera shutter and ambient light are high when taking a telephoto lens.

In summary, a camera matrix formed by a plurality of cameras is large in size, low in resolution and high in camera requirements.

Disclosure of Invention

In view of the above, the present invention has been made to provide a virtual matrix type three-dimensional measurement and information acquisition apparatus based on multiple acquisition regions that overcomes or at least partially solves the above-mentioned problems.

The invention provides a virtual matrix type three-dimensional measurement and information acquisition device based on multiple acquisition regions, which is characterized in that: comprises that

The image acquisition device is used for providing an acquisition area and acquiring a corresponding image;

the acquisition area moving device is used for driving the acquisition area of the image acquisition device to move to different positions to form other acquisition areas, so that a virtual image acquisition matrix formed by a plurality of acquisition areas is formed in a certain time in space, and the image acquisition device obtains images of the target object from the plurality of acquisition areas in different directions;

the image processing device is used for processing a plurality of images obtained by the virtual image acquisition matrix to obtain the 3D information of the target object;

the matrix structure is determined by the position of the image acquisition device when a plurality of images are acquired, and the following conditions are satisfied at three adjacent positions:

the image acquisition device shoots a picture P1 at a position W1, shoots a picture P2 after moving to a position W2, continues to move the image acquisition device to a position W3, shoots a picture P3, compares whether parts which represent the same region of the target object exist in the picture P1, the picture P2 and the picture P3, namely P1 ∩ P2 ∩ P3 is not empty, and meets the 3D information acquisition requirement when a plurality of pictures are used for synthesizing 3D, and the positions W1, W2 and W3 of the image acquisition device are met.

Optionally, the image acquisition device is driven by the acquisition region moving device, and when a two-dimensional matrix is formed, the acquisition region moving device includes a plurality of tracks.

Optionally, one image capturing device moves along different tracks in sequence.

Optionally, the plurality of image capturing devices move along different trajectories.

Optionally, a plurality of image capturing devices are disposed on each track.

Optionally, the acquisition area moving device includes a first rail, a second rail, a first image acquisition unit, and a second image acquisition unit; the device also comprises a servo motor which can drive the first image acquisition unit and the second image acquisition unit to move on the corresponding tracks.

Optionally, when the image acquisition device is driven by the acquisition region moving device to form a two-dimensional matrix, the acquisition region moving device includes a robot arm.

Optionally, the acquisition area moving device is handheld.

Optionally, the image capturing device further comprises a zoom or auto-focus device.

Optionally, the image capturing device includes a lens, an image sensor, and a processor.

Invention and technical effects

1. The technical problem that the multi-camera matrix is low in acquisition resolution due to the camera volume is noticed and proposed for the first time, and the acquisition resolution is improved in a mode of forming a virtual camera matrix within a certain time, and the resolution can reach a pixel level.

2. Because the target objects are different and the shapes of the objects are different, the virtual camera matrix structure is difficult to be expressed in a standard manner when being optimized to achieve a better synthesis effect, and therefore, no technology for optimizing the camera matrix structure exists at present. In order to form a stable and reliable camera matrix, the structure of the matrix is optimized through repeated experiments and summarized experiences, and experience conditions required to be met by matrix points (positions where the camera acquires images) are given.

3. To form the virtual camera matrix, the camera needs to be moved, and the camera weight is too heavy, so that the moving positioning is inaccurate due to large inertia, and the acquisition resolution is also affected. This is specific to the virtual camera matrix and was first proposed by the applicant. In order to solve the technical problem, a household camera, a single lens reflex camera and the like which are commonly used in the prior art are not used. Instead, the cameras are redesigned to include the necessary parts for image acquisition, removing the remaining functionality, according to the movement requirements of the virtual camera matrix.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:

FIG. 1 shows a schematic view of an apparatus according to an embodiment of the invention;

FIG. 2 is a schematic diagram illustrating the requirement for taking multiple pictures of the same object according to an embodiment of the present invention;

FIG. 3 shows a schematic diagram of a specific implementation according to another embodiment of the invention;

FIG. 4 shows a schematic diagram of another implementation according to another embodiment of the invention;

FIG. 5 shows a schematic diagram of a specific implementation according to a further embodiment of the invention;

description of reference numerals: 101 of the track, the track is,

201 an image acquisition device for acquiring an image,

100 an image processing apparatus for processing an image,

102 a mechanical movement device for the movement of the device,

a region-moving device is acquired 400 by,

2011 the first image-capturing unit is configured to,

2012 a second image pick-up unit for the image,

1011 a first track of the first rail,

1012 second track.

Detailed Description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

Example 1

In order to solve the above technical problem, an embodiment of the present invention provides a virtual matrix three-dimensional measurement and information acquisition device based on multiple acquisition regions. As shown in fig. 1, the method specifically includes: the system comprises a track 101, an image acquisition device 201, an image processing device 100 and a mechanical moving device 102, wherein the image acquisition device 201 is installed on the mechanical moving device 102, and the mechanical moving device 102 can move along the track 101, so that the acquisition area of the image acquisition device 201 is continuously changed, a plurality of acquisition areas at different positions in space are formed on a scale of a period of time to form an acquisition matrix, but only one acquisition area exists at a certain moment, and therefore the acquisition matrix is virtual. Since the image capturing device 201 is typically constituted by a camera, it is also referred to as a virtual camera matrix. The image capturing device 201 may be a camera, a CCD, a CMOS, a camera, a mobile phone with an image capturing function, a tablet, or other electronic devices.

The matrix point of the virtual matrix is determined by the position of the image acquisition device 201 when the target object image is acquired, and the adjacent two positions at least satisfy the following conditions:

H*(1-cosb)＝L*sin2b；

a＝m*b；

0<m<1.5

where L is the distance from the image capturing device 201 to the target object, typically the distance from the captured target object directly facing the area when the image capturing device 201 is in the first position, and m is a coefficient.

H is the actual size of the object in the captured image, which is typically a picture taken by the image capture device 201 in the first position, where the object has a true geometric size (not the size in the picture), and the size is measured along the direction from the first position to the second position. E.g., the first position and the second position are in a horizontally displaced relationship, then the dimension is measured along a horizontal cross direction of the target. For example, if the leftmost end of the target object that can be displayed in the picture is a and the rightmost end is B, the linear distance from a to B on the target object is measured and is H. The measurement method can calculate the actual distance by combining the focal length of the camera lens according to the A, B distance in the picture, and can also mark A, B on the target object and directly measure the AB linear distance by using other measurement means.

and a is an included angle of optical axes of the two adjacent position image acquisition devices.

m is a coefficient

Because the size of the object and the concave-convex condition are different, the value of a can not be limited by a strict formula, and the value needs to be limited according to experience. According to a number of experiments, m may be within 1.5, but preferably may be within 0.8. Specific experimental data are seen in the following table:

after the target and the image acquisition device 201 are determined, the value of a can be calculated according to the above empirical formula, and the parameter of the virtual matrix, i.e. the position relationship between the matrix points, can be determined according to the value of a.

In a general case, the virtual matrix is a one-dimensional matrix, for example, a plurality of matrix points (acquisition positions) are arranged in a horizontal direction. However, when some target objects are large, a two-dimensional matrix is required, and two positions adjacent in the vertical direction also satisfy the above-described a-value condition.

In some cases, even if the matrix parameters (a values) are not easily determined in some cases according to the above empirical formula, the matrix parameters may need to be adjusted experimentally by calculating the prediction matrix parameters a according to the above formula and controlling the camera to move to the corresponding matrix points according to the matrix parameters, for example, the camera takes a picture P1 at position W1 and takes a picture P2 after moving to position W2, at which time it is compared whether there is a portion of the picture P1 and the picture P2 that represents the same region of the object, i.e., P1 ∩ P2 is not empty (e.g., contains a human eye angle portion at the same time, but the shooting angle is different), if not, the a value is readjusted to position W2', the above comparison step is repeated, if P1 ∩ P2 is not empty, the camera continues to move to the W3 position according to the a value, picture P3 is again compared with the picture P1, picture P632 and P3, if there are three adjacent captured images, it is determined that the captured by the image capturing device has a combined image corresponding to the three captured images corresponding to the position D633, i.e., the captured image capturing effect of the captured by the three captured images is satisfied by the test device.

After the virtual matrix obtains a plurality of target images, the image processing apparatus processes the images to synthesize 3D. The method of synthesizing a 3D point cloud or image from a plurality of images at a plurality of angles captured by a camera may be a method of image stitching from adjacent image feature points, or other methods may be used.

The image splicing method comprises the following steps:

(1) processing the plurality of images and extracting respective feature points; features of the respective Feature points in the plurality of images may be described using a Scale-Invariant Feature Transform (SIFT) Feature descriptor. The SIFT feature descriptor has 128 feature description vectors, can describe 128 aspects of features of any feature point in direction and scale, and remarkably improves the accuracy of feature description, and meanwhile, the feature descriptor has spatial independence.

(2) And respectively generating feature point cloud data of the human face features and feature point cloud data of the iris features on the basis of the extracted feature points of the plurality of images. The method specifically comprises the following steps:

(2-1) matching the feature points of the multiple pictures according to the features of the feature points of each image in the multiple extracted images to establish a matched facial feature point data set; matching the feature points of the multiple pictures according to the features of the feature points of each image in the multiple extracted images, and establishing a matched iris feature point data set;

and (2-2) calculating the relative position of the camera relative to the characteristic point on the space of each position according to the optical information of the camera and different positions of the camera when the plurality of images are acquired, and calculating the space depth information of the characteristic point in the plurality of images according to the relative position. Similarly, spatial depth information of feature points in a plurality of images can be calculated. The calculation may be by beam adjustment.

Calculating spatial depth information of the feature points may include: the spatial position information and the color information, that is, may be an X-axis coordinate of the feature point at a spatial position, a Y-axis coordinate of the feature point at a spatial position, a Z-axis coordinate of the feature point at a spatial position, a value of an R channel of the color information of the feature point, a value of a G channel of the color information of the feature point, a value of a B channel of the color information of the feature point, a value of an Alpha channel of the color information of the feature point, or the like. In this way, the generated feature point cloud data includes spatial position information and color information of the feature points, and the format of the feature point cloud data may be as follows:

X1 Y1 Z1 R1 G1 B1 A1

X2 Y2 Z2 R2 G2 B2 A2

……

Xn Yn Zn Rn Gn Bn An

wherein Xn represents the X-axis coordinate of the feature point at the spatial position; yn represents the Y-axis coordinate of the feature point at the spatial position; zn represents the Z-axis coordinate of the characteristic point at the space position; rn represents a value of an R channel of color information of the feature point; gn represents a value of a G channel of color information of the feature point; bn represents the value of the B channel of the color information of the feature point; an represents the value of the Alpha channel of the color information of the feature point.

And (2-3) generating feature point cloud data of the features of the target object according to the feature point data set matched with the plurality of images and the spatial depth information of the feature points.

And (2-4) constructing a 3D model of the target object according to the characteristic point cloud data so as to realize acquisition of the point cloud data of the target object.

And (2-5) attaching the acquired color and texture of the target object to the point cloud data to form a 3D image of the target object.

Wherein, the 3D image can be synthesized by using all the images in a group of images, and the image with higher quality can be selected from the images for synthesis.

The above-mentioned stitching method is only a limited example, and is not limited thereto, and all methods for generating a three-dimensional image from a plurality of multi-angle two-dimensional images may be used.

Example 2

In addition to the above-described manner of forming a virtual matrix by orbital motion, it can also be realized by camera rotation.

Referring to fig. 3 and 4, the 3D information acquiring apparatus includes: the image acquisition device 201 is used for acquiring a group of images of the target object through the relative movement of the acquisition area of the image acquisition device 201 and the target object; the acquisition area moving device 400 is used for driving the acquisition area of the image acquisition device 201 to move relative to the target object; the collection area moving device 400 is a rotating device of a rotating device, so that the image collection device 201 rotates along a central axis;

the image acquisition device 201 is a camera, the camera is fixedly mounted on a camera fixing frame on the rotating seat, a rotating shaft is connected below the rotating seat, the rotating shaft is controlled to rotate by a rotating shaft driving device, the rotating shaft driving device and the camera are both connected with a control terminal, and the control terminal is used for controlling the rotating shaft driving device to implement driving and shooting the camera. In addition, the rotation axis can also be directly and fixedly connected with the image acquisition device 201 to drive the camera to rotate. The difference of the spatial positions of the acquisition regions is realized through the rotation of the camera, so that a virtual camera matrix is formed (the matrix points can not be in the same plane).

The control terminal may be selected from the image processing apparatus 100, a computer, a remote control center, and the like.

The image acquisition device 201 can be replaced by other image acquisition devices such as a video camera, a CCD, an infrared camera, etc. Meanwhile, the image capturing device 201 may be integrally mounted on a support, such as a tripod, a fixed platform, or the like.

The rotating shaft driving device can be selected from a brushless motor, a high-precision stepping motor, an angle encoder, a rotating motor and the like.

Of course, the rotating device may be of other types, for example, the rotating shaft is located below the image capturing device 201, and the rotating shaft is directly connected to the image capturing device 201, and the central axis intersects with the image capturing device 201; the rotation central shaft is positioned at one side of the lens of the camera of the image acquisition device 201, at the moment, the camera rotates around the central shaft and shoots, and a rotation connecting arm is arranged between the rotation shaft and the rotating seat; the rotation central shaft is located on the opposite side of the lens of the camera of the image acquisition device 201, at this time, the camera rotates around the central shaft and shoots, a rotation connecting arm is arranged between the rotation shaft and the rotation seat, and the connecting arm can be set to have an upward or downward bending structure according to requirements; the rotation center shaft is located on the opposite side of the lens of the camera of the image acquisition device 201, and the center shaft is horizontally arranged, so that the camera can carry out angle conversion in the vertical direction and can be suitable for shooting a target object with specific characteristics in the vertical direction, wherein the rotating shaft driving device drives the rotating shaft to rotate to drive the swinging connecting arm to move up and down; meanwhile, the rotating shaft driving device further comprises a lifting device and a lifting driving device used for controlling the lifting device to move, and the lifting driving device is connected with the control terminal, so that the shooting area range of the 3D information acquisition device is enlarged.

Example 3

The virtual matrix may be a one-dimensional matrix or a two-dimensional matrix. When the two-dimensional matrix is formed, it can be realized by providing a plurality of tracks (but is not limited thereto).

Referring to fig. 5, the method specifically includes: a first rail 1011, a second rail 1012, a first image capturing unit 2011, a second image capturing unit 2012, and the image processing apparatus 100. The device also comprises servo motors which can drive the first image acquisition unit 2011 and the second image acquisition unit 2012 to move on the corresponding first track 1011 and the second track 1012. When the two acquisition units acquire the photos which can be used for 3D synthesis on the corresponding tracks, the positions of the two acquisition units are matrix points. Two-dimensional matrix points arranged in space, i.e. a two-dimensional virtual matrix, can be formed by two tracks.

Of course, forming a two-dimensional matrix is not limited to passing through two tracks, and multiple tracks are equally possible. For example, 3, 4, 5 tracks, etc. may be provided. When multiple tracks are used, the method is not limited to a plurality of cameras, one camera moves on different tracks in sequence, and when the method meets the parameter requirements of the virtual matrix, a two-dimensional virtual matrix can be formed.

Also, forming the virtual matrix is not necessarily based on a track, as may be the case, for example, using a robotic arm, or hand held.

Example 4

When forming the matrix, the proportion of the size of the object shot by the camera at the point of the matrix in the picture is also required to be ensured to be proper, and the shot picture is clear. Then the camera needs to zoom and focus at the matrix point in the process of forming the matrix.

(1) Zoom lens

After the camera shoots the target object, the proportion of the target object in the camera picture is estimated and compared with a preset value. Zooming is required to be either too large or too small. The zooming method may be: the image acquisition device 201 is moved by an additional displacement device in the radial direction of the image acquisition device 201, so that the image acquisition device 201 can be close to or far away from the target object, thereby ensuring that the occupation ratio of the target object in the picture is kept basically unchanged at each matrix point.

A distance measuring device is also included that can measure the real-time distance (object distance) from the image acquisition device 201 to the object. The relation data of the object distance, the ratio of the target object in the picture and the focal distance can be listed into a table, and the size of the object distance is determined according to the focal distance and the ratio of the target object in the picture, so that the matrix point is determined.

In some cases, the ratio of the target object in the picture can be kept constant by adjusting the focal length when the target object or the area of the target object changes relative to the camera at different matrix points.

(2) Automatic focusing

In the process of forming the virtual matrix, the distance measuring device measures the distance (object distance) h (x) from the camera to the object in real time, sends the measurement result to the image processing device 100, the image processing device 100 looks up the object distance-focal length table to find the corresponding focal length value, sends a focusing signal to the camera 201, and controls the camera ultrasonic motor to drive the lens to move for rapid focusing. Therefore, under the condition that the position of the image acquisition device 201 is not adjusted and the focal length of the lens is not adjusted greatly, the rapid focusing can be realized, and the clear picture shot by the image acquisition device 201 is ensured. This is also one of the points of the present invention. Of course, focusing may be performed by using an image contrast comparison method, in addition to the distance measurement method.

The target object in the invention can be a solid object or a composition of a plurality of objects.

The 3D information of the target object comprises a 3D image, a 3D point cloud, a 3D grid, local 3D features, 3D dimensions and all parameters with the 3D features of the target object.

The 3D and three-dimensional information in the present invention means having XYZ three-dimensional information, particularly depth information, and is essentially different from only two-dimensional plane information. It is also fundamentally different from some definitions, called 3D, panoramic, holographic, three-dimensional, but actually only comprising two-dimensional information, in particular not depth information.

The capture area in the present invention refers to a range in which an image capture device (e.g., a camera) can capture an image.

The image acquisition device can be a CCD, a CMOS, a camera, a video camera, an industrial camera, a monitor, a camera, a mobile phone, a tablet, a notebook, a mobile terminal, a wearable device, intelligent glasses, an intelligent watch, an intelligent bracelet and all devices with image acquisition functions.

The 3D information of multiple regions of the target obtained in the above embodiments can be used for comparison, for example, for identification of identity. Firstly, the scheme of the invention is utilized to acquire the 3D information of the face and the iris of the human body, and the information is stored in a server as standard data. When the system is used, for example, when the system needs to perform identity authentication to perform operations such as payment and door opening, the 3D acquisition device can be used for acquiring and acquiring the 3D information of the face and the iris of the human body again, the acquired information is compared with standard data, and if the comparison is successful, the next action is allowed. It can be understood that the comparison can also be used for identifying fixed assets such as antiques and artworks, namely, the 3D information of a plurality of areas of the antiques and the artworks is firstly acquired as standard data, when the identification is needed, the 3D information of the plurality of areas is acquired again and compared with the standard data, and the authenticity is identified.

The 3D information of multiple regions of the target object obtained in the above embodiments can be used to design, produce, and manufacture a kit for the target object. For example, 3D data of the head of a human body is obtained, and a more suitable hat can be designed and manufactured for the human body; the human head data and the 3D eye data are obtained, and suitable glasses can be designed and manufactured for the human body.

The 3D information of the object obtained in the above embodiment can be used to measure the geometric size and contour of the object.

In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination.

The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components of a visible light camera based biometric four-dimensional data acquisition apparatus according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.

Thus, it should be appreciated by those skilled in the art that while a number of exemplary embodiments of the invention have been illustrated and described in detail herein, many other variations or modifications consistent with the principles of the invention may be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the invention. Accordingly, the scope of the invention should be understood and interpreted to cover all such other variations or modifications.

Claims

1. The utility model provides a virtual matrix three-dimensional measurement and information acquisition device based on gather regional more which characterized in that: comprises that

2. The apparatus of claim 1, wherein: the image acquisition device is driven by the acquisition area moving device, and when a two-dimensional matrix is formed, the acquisition area moving device comprises a plurality of tracks.

3. The apparatus of claim 2, wherein: one image acquisition device moves along different tracks in sequence.

4. The apparatus of claim 2, wherein: the plurality of image capturing devices move along different trajectories.

5. The apparatus of claim 2, wherein: and each track is provided with a plurality of image acquisition devices.

6. The apparatus of claim 1, wherein: the acquisition area moving device comprises a first rail, a second rail, a first image acquisition unit and a second image acquisition unit; the device also comprises a servo motor which can drive the first image acquisition unit and the second image acquisition unit to move on the corresponding tracks.

7. The apparatus of claim 1, wherein: when the image acquisition device is driven by the acquisition area moving device to form a two-dimensional matrix, the acquisition area moving device comprises a robot arm.

8. The apparatus of claim 1, wherein: the acquisition area mobile device is handheld.

9. The apparatus of any of claims 1-8, wherein: the image acquisition device further comprises a zooming or automatic focusing device.

10. The apparatus of any of claims 1-8, wherein: the image acquisition device comprises a lens, an image sensor and a processor.